Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.set_navigate() Function
The Axes.set_navigate() Function in axes module of matplotlib library is used to check whether the axes responds to navigation toolbar commands or not.
Syntax: Axes.set_navigate(self, b)
Parameters: This accept the following parameters that are described below:
- b : This parameter contains the boolean value.
Return value: This method does not returns any value.
Below examples illustrate the matplotlib.axes.Axes.set_navigate() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt from mpl_toolkits.axisartist.axislines import SubplotZero import numpy as np fig, ax = plt.subplots() xx = np.arange(0, 2 * np.pi, 0.01) ax.plot(xx, np.sin(xx)) ax.set_navigate(False) fig.suptitle('matplotlib.axes.Axes.set_navigate() function\ Example\n\n', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np fig, (ax, ax1)= plt.subplots(1, 2) ax.plot([1, 2, 3]) ax.grid() ax1.plot([1, 2, 3]) ax1.grid() ax.set_navigate(False) ax1.set_navigate(True) ax.set_title(" set_navigate with False") ax1.set_title(" set_navigate with True") fig.suptitle('matplotlib.axes.Axes.set_navigate() function\ Example\n\n', fontweight ="bold") plt.show() |
Output:
Move cursor on Axes 1:
Move cursor on Axes 2:
